代码搜索:Fitting

找到约 695 项符合「Fitting」的源代码

代码结果 695
www.eeworm.com/read/216502/4891493

c tee.c

/* * tee-- pipe fitting */ #include #include #include #include int openf[20] = { 1 }; int n = 1; int t = 0; int aflag; char in[512]; char out[512];
www.eeworm.com/read/388876/8569006

html x181.html

Avoid Over-Fitting
www.eeworm.com/read/166720/10006018

css toc.css

.HEADING { font-size: 15px; font-family: Arial, Geneva, Verdana, Helvetica; font-weight: bold; color: #000000; text-align: normal; margin-left: 0px; } .Fitting { font-size: 11px; font-f
www.eeworm.com/read/358544/10185582

css toc.css

.HEADING { font-size: 15px; font-family: Arial, Geneva, Verdana, Helvetica; font-weight: bold; color: #000000; text-align: normal; margin-left: 0px; } .Fitting { font-size: 11px; font-f
www.eeworm.com/read/274663/10860139

css toc.css

.HEADING { font-size: 15px; font-family: Arial, Geneva, Verdana, Helvetica; font-weight: bold; color: #000000; text-align: normal; margin-left: 0px; } .Fitting { font-size: 11px; font-f
www.eeworm.com/read/465980/7042637

css toc.css

.HEADING { font-size: 15px; font-family: Arial, Geneva, Verdana, Helvetica; font-weight: bold; color: #000000; text-align: normal; margin-left: 0px; } .Fitting { font-size: 11px; font-f
www.eeworm.com/read/461789/7220029

css toc.css

.HEADING { font-size: 15px; font-family: Arial, Geneva, Verdana, Helvetica; font-weight: bold; color: #000000; text-align: normal; margin-left: 0px; } .Fitting { font-size: 11px; font-f
www.eeworm.com/read/461789/7220246

css toc.css

.HEADING { font-size: 15px; font-family: Arial, Geneva, Verdana, Helvetica; font-weight: bold; color: #000000; text-align: normal; margin-left: 0px; } .Fitting { font-size: 11px; font-f
www.eeworm.com/read/397097/8069108

m f_svs.m

% F_SVS % % [frac_SV2,alf,R2,Dx,I] = f_svs(sigma,x2,labx,frac_error); % % Compute the best fitting sphere around data x, using kerneltype % gaussian. labx indicates if x is element of the target set
www.eeworm.com/read/295789/8139903

m binaryfit.m

function [C1,C2]= binaryfit(Img,H_phi) % [C1,C2]= binaryfit(phi,U,epsilon) computes c1 c2 for optimal binary fitting % input: % Img: input image % phi: level set function %